{"title":"Vehicle Door Safety System","authors":"Abilash Sivasankar, Kumaran U","doi":"10.1109/ICCSC56913.2023.10143020","DOIUrl":null,"url":null,"abstract":"Carelessness and absence of mind leading to unseen obstacles or moving objects from passenger or driver inside the vehicle will make way for accidents to happen when they try to open the side door of the vehicle which will damage the door as well as harm any person or animal. The proposed system with the use of a camera and object detection will be able to detect vehicles and stationary objects that might hit the vehicle door when the passenger or driver tries to open the door without being aware of them. The system will alert the person inside the car so they can open the door in safe manner which prevents damage to the door. The object detection YOLO model is custom trained for the proposed system. Then based on this model object detection is performed using raspberry pi and camera setup. The camera is placed on the mirrors to cover both front and back door. The raspberry pi is remotely connected to laptop for visualizing the detection of objects which will damage the door. The system uses the computer vision concept and objects detection for ensuring the safety of vehicle door.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSC56913.2023.10143020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Carelessness and absence of mind leading to unseen obstacles or moving objects from passenger or driver inside the vehicle will make way for accidents to happen when they try to open the side door of the vehicle which will damage the door as well as harm any person or animal. The proposed system with the use of a camera and object detection will be able to detect vehicles and stationary objects that might hit the vehicle door when the passenger or driver tries to open the door without being aware of them. The system will alert the person inside the car so they can open the door in safe manner which prevents damage to the door. The object detection YOLO model is custom trained for the proposed system. Then based on this model object detection is performed using raspberry pi and camera setup. The camera is placed on the mirrors to cover both front and back door. The raspberry pi is remotely connected to laptop for visualizing the detection of objects which will damage the door. The system uses the computer vision concept and objects detection for ensuring the safety of vehicle door.